Lusha

Overview

Lusha is a B2B data and sales intelligence platform for revenue teams. It finds verified business contacts (emails and direct dials), enriches company and contact records, and surfaces buying-intent signals, then syncs to a CRM. It was founded in 2016 by Assaf Eisenstein and Yoni Tserruya and is headquartered in Tel Aviv, Israel. In November 2021 it raised a $205M Series B led by PSG at a reported $1.5B valuation, bringing total funding to a reported $245M.

What it does

The core workflow is assistant-grade. A seller searches Lusha's database (which Lusha states at 300M+ contacts and 30M+ companies) by role, industry, technographics, and other filters, then reviews and exports or syncs verified contacts. Enrichment fills out incomplete records in the workspace, via bulk CSV upload, or through the API. Intent and behavioral signals (Lusha reports roughly 7M new signals per week) help time outreach. On top of the data sit AI layers: AI-assisted list building works from natural-language prompts and lookalike recommendations (supervised, the user defines the ICP and reviews), and an AI email assistant drafts personalized outreach the seller edits and sends (copilot). Lusha markets these toward a "Warm Outbound" motion, but the features assist and suggest rather than run campaigns end to end.

Integrations & setup

Lusha provides a browser extension that pulls contacts from LinkedIn and company sites, plus native integrations including Salesforce, HubSpot, Pipedrive, Zoho CRM, monday CRM, Bullhorn, Outreach, Salesloft, and Chili Piper, with Gmail and Outlook for sending. Workflow and automation platforms (Zapier, Make, n8n, Workato) and a public API let teams enrich and route data programmatically.

Pricing

Freemium and credit-based. There is a free tier (reportedly around 70 credits per month), paid Pro and Premium plans priced per user with cost scaling by credit volume, and a custom Scale tier for high volume. Credit consumption and per-seat billing drive the effective cost; published figures vary by plan and billing term, and several figures here are reported by third parties rather than fully listed officially.

Best for / not for

Best for SMB and mid-market sales, marketing, and recruiting teams that want fast, self-serve contact lookup and enrichment with low setup and broad CRM connectivity. Less suited to teams that need the deepest, most accurate enterprise data or fully transparent, predictable pricing, where regional accuracy and credit-based billing are the most common complaints.

Alternatives

Apollo and Seamless.AI are the closest all-in-one peers (database plus engagement). Clay focuses on waterfall enrichment. ZoomInfo and Cognism compete on data depth and accuracy, typically up-market.